Make agent work worth the effort.
See whether your coding agent delivered a verified, accepted result. Find evidence of wasted effort and choose one change to test next.
Verified.
Accepted.
Both checks matter.
- Objective verification
- Passed
- Human acceptance
- Yes
- Observed failed tools
- 2
- Monetary cost
- Unavailable
Clarify the failed tool’s usage instructions, then compare the next similar task.
Sample evidence, not a customer result or measured improvement.
Finishing a task is only the beginning.
A completed command does not tell you whether the work is correct or useful. Refario connects execution, verification, and your acceptance decision.
Verified outcomes
Keep command completion, objective verification, and human acceptance separate.
Effort and timing
Record task-to-first-stop and wall-clock duration when the host exposes the required boundaries.
Evidence of waste
Inspect observed failed tools and rework without collecting prompts or tool contents.
One next experiment
Get a deterministic recommendation and test one change on a comparable task.
One task. One review. One change to test.
Use real work to understand what helps. Keep task scope and configuration comparable, and include failed attempts in the comparison.
Capture a task
Start in the right Git repository and work on a real, bounded coding task.
Verify and review
Run an objective check and explicitly accept, reject, or partially accept the result.
Test one change
Use the recommendation to guide the next similar task. Compare outcomes before drawing conclusions.
For people building with coding agents.
Start with your own work. Build a habit of checking the outcome before optimising the process.
- Review real agent tasks
- See verification and acceptance together
- Keep detailed evidence local
- Understand repeated rework
- Test clearer instructions
- Build evidence before changing the stack
- Compare similar tasks manually
- Record the configuration used
- Keep unsupported cost claims out
A local plugin, with a broader direction.
Capture session evidence, run verification, record acceptance, and get a deterministic recommendation. Cross-task comparisons are currently manual. Team benchmarks and automatic cost attribution are not part of this early release.
Make the next task a useful experiment.
Capture the evidence, verify the result, and decide what to try next.